MRISeqClassifier: A Deep Learning Toolkit for Precise MRI Sequence Classification
Jinqian Pan,
Qi Chen,
Chengkun Sun
et al.
Abstract:Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool in medicine, widely used to detect and assess various health conditions. Different MRI sequences, such as T1-weighted, T2-weighted, and FLAIR, serve distinct roles by highlighting different tissue characteristics and contrasts. However, distinguishing them based solely on the description file is currently impossible due to confusing or incorrect annotations. Additionally, there is a notable lack of effective tools to differentiate these sequences. I… Show more
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